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Particle physics, nuclear physics, condensed matter, plasma physics, optics, acoustics, quantum mechanics
6,295 datasets
A scientific paper published in Earth and Planetary Science Letters concerning the mid-Cretaceous through mid-Cenozoic tectonic evolution of West Antarctica. The study uses finite element models to analyze the two-stage extensional evolution of the West Antarctic Rift system. The dataset originates from the NASA EarthData platform and is associated with the organization SCIOPS.
NASA's Terra MODIS Level-3 Global Mapped Inherent Optical Properties (IOP) Data, version 2022.0, provides per-pixel inherent optical properties retrieved from spectral Remote Sensing Reflectance. The dataset includes geophysical variables such as total absorption and backscattering coefficients, phytoplankton absorption at 443 nm, and uncertainty estimates. It supports water-type classification, water-clarity assessment, and biogeochemical studies.
The Terra MODIS Level-3 Global Binned Inherent Optical Properties (IOP) Data, version 2022.0, provides per-pixel inherent optical properties retrieved from spectral Remote Sensing Reflectance. Geophysical variables include total absorption and backscattering coefficients, phytoplankton absorption at 443 nm, and coefficients for CDOM and detritus. The data supports water-type classification, water-clarity assessment, and biogeochemical studies.
Inherent Optical Properties (IOPs) describe how seawater absorbs and scatters light independent of viewing conditions. The Suomi-NPP VIIRS Level-3 data provides global mapped IOPs retrieved from spectral Remote Sensing Reflectance using the Generalized IOP model framework. These products support water-type classification, clarity assessment, and biogeochemical studies.
Inherent Optical Properties describe how seawater absorbs and scatters light independent of viewing conditions. The data provides pixel-level coefficients for total absorption, phytoplankton absorption, and particulate backscattering, retrieved from satellite Remote Sensing Reflectance using the GIOP model framework. This version 2022.0 dataset originates from NASA's Suomi-NPP satellite.
Global mapped Earth-observation data from the Sentinel-3B satellite provides inherent optical properties of seawater. The data likely contains pixel-level coefficients for absorption and backscattering, retrieved using the Generalized Inherent Optical Properties model framework. This activity was informed by the U.S. Government's Satellite Needs Working Group.
The dataset likely contains global, binned satellite-derived measurements of inherent optical properties (IOPs) for seawater. It is based on Sentinel-3B OLCI Level-3 data processed with the Generalized Inherent Optical Properties (GIOP) model framework. The activity was informed by the Satellite Needs Working Group (SNWG), an interagency effort of the U.S. Government.
Sentinel-3A OLCI Level-3 Global Mapped Earth-observation Reduced-Resolution (ERR) Inherent Optical Properties (IOP) Data, version 2022.0, provides per-pixel inherent optical properties retrieved from spectral Remote Sensing Reflectance using the Generalized Inherent Optical Properties (GIOP) model framework. The dataset includes geophysical variables such as total absorption and backscattering coefficients, plus phytoplankton and particulate backscattering coefficients at 443 nm. This activity was informed by the Satellite Needs Working Group (SNWG), an interagency effort of the U.S. Government.
Sentinel-3A OLCI Level-3 Global Binned Earth-observation Reduced-Resolution (ERR) Inherent Optical Properties (IOP) Data, version 2022.0, provides per-pixel inherent optical properties retrieved from spectral Remote Sensing Reflectance using the Generalized Inherent Optical Properties (GIOP) model framework. The dataset includes variables such as total absorption and backscattering coefficients, and phytoplankton absorption at 443 nm. This activity was informed by the Satellite Needs Working Group (SNWG), an interagency effort of the U.S. Government.
British Columbia data details the receptor-binding specificity and antigenic properties of a genotype D1.1 A(H5N1) influenza virus isolated from a human case. The study enriched HA-variant subpopulations and assessed sialic acid receptor usage via glycan microarray, solid-phase assays, and biolayer interferometry. All tested variants bound exclusively to avian-type receptors, and their antigenicity was covered by candidate vaccine viruses.
MAPOL_OCEAN provides simultaneous aerosol and ocean color products using the Fast Multi-Angle Polarimetric Ocean and Land algorithm. The dataset includes core geophysical variables such as aerosol optical thickness, chlorophyll-a concentration, and aerosol layer height. It is produced by OB_CLOUD from NASA Earthdata using the SPEXone instrument on the PACE satellite.
NASA's PACE SPEXone Level-3 dataset provides global mapped aerosol and ocean color properties using the FastMAPOL algorithm. The data includes aerosol optical thickness, single scattering albedo, chlorophyll-a concentration, and ocean reflectance across multiple spectral bands. The algorithm uses a coupled atmosphere-ocean radiative-transfer model accelerated by deep neural networks for near real-time processing.
PACE SPEXone Level-2 data provides simultaneous aerosol and ocean color retrievals over ocean regions. The FastMAPOL algorithm uses a coupled atmosphere-ocean radiative-transfer model accelerated by deep neural networks to derive core geophysical variables. This near real-time version 3.0 data is produced by OB_CLOUD and distributed via NASA Earthdata.
PACE SPEXone Level-2 data provides over 20 coupled aerosol and ocean parameters retrieved from satellite observations. The dataset, processed by the RemoTAP algorithm, delivers near real-time aerosol optical depth, single-scattering albedo, refractive index, size distribution, and related ocean surface properties. Organization OB_CLOUD provides this version 3.0 product for aerosol-climate and air-quality studies.
AER_RTAPLAND provides aerosol optical thickness, layer height, single scattering albedo, and spectrally resolved land-surface BRDF parameters retrieved from PACE SPEXone satellite observations. The dataset is produced by OB_CLOUD using the RemoTAP algorithm for near real-time delivery. Its primary uses include air-quality monitoring, climate studies, and radiative transfer modeling.
CLOUD_GPC suite provides cloud properties derived from the GISS Polarimetric Cloud algorithm applied to PACE HARP2 Level-3 data. It includes core variables like cloud_bow_droplet_effective_radius and cloud_liquid_index, along with experimental diagnostic variables for future refinement. The data is produced by the OB_CLOUD organization.
Satellite-derived aerosol and ocean color properties over global oceans, produced by the FastMAPOL algorithm. The dataset includes aerosol optical thickness, single scattering albedo, and chlorophyll-a concentration among other variables. The data originates from NASA's PACE mission and is provided by OB_CLOUD.
NOAA-21 VIIRS satellite data provides global mapped inherent optical properties (IOPs) of seawater, quantifying light absorption and scattering by water constituents. The dataset is produced by OB_CLOUD using the Generalized Inherent Optical Properties (GIOP) model framework applied to spectral remote sensing reflectance. This version is identified as 2025.0.
NOAA-21 VIIRS Level-3 Global Binned Inherent Optical Properties (IOP) Data provides per-pixel coefficients describing seawater light absorption and scattering. The dataset, version 2025.0, is produced by OB_CLOUD using the Generalized Inherent Optical Properties (GIOP) model framework on spectral Remote Sensing Reflectance data.
Inherent optical properties of seawater are derived from satellite-measured remote sensing reflectance using the Generalized Inherent Optical Properties model framework. The dataset includes variables like total absorption and backscattering coefficients, phytoplankton absorption at 445 nm, and associated uncertainties. It is produced by OB_CLOUD from NOAA-20 VIIRS sensor data for the 2022.0 version.